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Temporary Google Software Engineer Jobs in Vermont

Pwc

Data Engineer - Senior Associate

Montpelier, VT

$77K - $202K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

Pwc

Data Engineer - Senior Manager

Montpelier, VT

$124K - $280K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is ...

Signify

Lead Development Engineer

Burlington, VT

$154K - $172K/yr

Contribute to the definition of common frameworks and software libraries, in various programming ... Experience with at least one leading Cloud technology AWS OR Azure OR Google Cloud; * CI/CD ...

Genlyte Group

Lead Development Engineer

Burlington, VT

$154K - $172K/yr

Contribute to the definition of common frameworks and software libraries, in various programming ... Experience with at least one leading Cloud technology AWS OR Azure OR Google Cloud; * CI/CD ...

Atria Group LLC

Dynatrace

Montpelier, VT · On-site

Our company provides application analysis, design, development and programming, software ... have experience with Google analytics in setting up for new pages as well as reporting and ...

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Temporary Google Software Engineer information

What are the key skills and qualifications needed to thrive as a Temporary Google Software Engineer, and why are they important?

To thrive as a Temporary Google Software Engineer, you need a strong background in computer science fundamentals, proficiency in programming languages like Python, Java, or C++, and relevant experience or a degree in a technical field. Familiarity with Google's development tools, cloud platforms, and version control systems such as Git is typically expected. Strong problem-solving abilities, adaptability, and effective communication skills are essential soft skills for this role. These competencies enable you to quickly contribute to complex projects, collaborate with cross-functional teams, and deliver high-quality software under tight deadlines.

How do temporary Google Software Engineers typically integrate with full-time teams and contribute to ongoing projects?

Temporary Google Software Engineers are often assigned to established teams working on specific products or features. They collaborate closely with full-time engineers, participating in code reviews, stand-up meetings, and sprint planning sessions. While their projects may have defined scopes or shorter timelines, they are encouraged to follow Google’s engineering best practices and contribute ideas during team discussions. This integration helps ensure continuity and quality, while also providing meaningful professional development and networking opportunities within the company.

What is the difference between Temporary Google Software Engineer vs Contract Google Software Engineer?

AspectTemporary Google Software EngineerContract Google Software Engineer
CredentialsTypically requires a bachelor's or master's in CS or related fieldSimilar educational requirements, often with additional certifications
Work EnvironmentFull-time, on-site or remote, integrated into Google teamsProject-based, flexible hours, may work remotely or on-site
Employer & Industry UsageEmployed directly by Google for a limited periodHired through staffing agencies or as independent contractors
Search & Comparison IntentOften searched for full-time or temporary roles at GoogleCommonly compared for freelance or project-specific work at Google

Temporary Google Software Engineers are employed directly by Google for a set period, usually full-time, and integrated into teams. Contract Google Software Engineers are hired through agencies or as contractors for specific projects, offering more flexibility. Both roles require similar skills and education but differ mainly in employment structure and work arrangement.

What is a Temporary Google Software Engineer?

A Temporary Google Software Engineer is a software developer employed by Google on a contract or fixed-term basis, rather than as a permanent, full-time employee. These engineers typically work on specific projects or to fill short-term staffing needs. They perform many of the same duties as regular software engineers, such as designing, coding, testing, and maintaining software applications. Temporary roles may offer valuable experience and the opportunity to work with cutting-edge technology, but they usually have limited benefits and job security compared to permanent positions.
What are the most commonly searched types of Google Software Engineer jobs in Vermont? The most popular types of Google Software Engineer jobs in Vermont are:
Temporary Google Software Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Barre, VT • On-site

Other

Posted 5 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply